estimate_a_campaign — ai content drop MCP Prompt
estimate_a_campaign
is one of 5 prompts on the
ai content drop
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke estimate_a_campaign from your client
- Claude Code ai content drop Prompt/estimate_a_campaign run in your project directory
- Claude Desktop ai content drop Prompt/estimate_a_campaign ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor ai content drop Prompt/estimate_a_campaign ~/.cursor/mcp.json
- VS Code ai content drop Prompt/estimate_a_campaign .vscode/mcp.json
- Zed ai content drop Prompt/estimate_a_campaign ~/.config/zed/settings.json
- Windsurf ai content drop Prompt/estimate_a_campaign ~/.codeium/windsurf/mcp_config.json
- Cline ai content drop Prompt/estimate_a_campaign ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI ai content drop Prompt/estimate_a_campaign ~/.gemini/settings.json
- Grok ai content drop Prompt/estimate_a_campaign .mcp.json (in your project root)
- ChatGPT ai content drop Prompt/estimate_a_campaign Settings → Connectors → Advanced → Developer mode
- Claude.ai ai content drop Prompt/estimate_a_campaign Settings → Connectors → Add custom connector
- LangChain ai content drop Prompt/estimate_a_campaign pip install langchain-mcp-adapters
Other prompts on this server
ai content drop also offers 9 resources — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026.
A listing does not declare its prompts, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each prompt's arguments.